His scientific interests lie mostly in Neuroscience, Functional magnetic resonance imaging, Grey matter, Audiology and Magnetic resonance imaging. John Suckling combines subjects such as Psychosis, Schizophrenia and Autism with his study of Neuroscience. His Functional magnetic resonance imaging research is multidisciplinary, incorporating perspectives in Developmental psychology, Resting state fMRI, Functional imaging, Human brain and Parahippocampal gyrus.
Grey matter is a subfield of White matter that he investigates. The various areas that John Suckling examines in his Audiology study include Psychiatry, Facial expression, Cingulate cortex and Affect. His studies deal with areas such as Nonparametric statistics, Radiation treatment planning, Nuclear medicine and Artificial intelligence as well as Magnetic resonance imaging.
His primary scientific interests are in Neuroscience, Functional magnetic resonance imaging, Audiology, Grey matter and White matter. His Neuroscience study combines topics in areas such as Magnetic resonance imaging, Schizophrenia and Autism. His Functional magnetic resonance imaging research is multidisciplinary, relying on both Working memory, Resting state fMRI, Functional imaging, Prefrontal cortex and Facial expression.
His work on Cognition expands to the thematically related Audiology. His Grey matter study combines topics from a wide range of disciplines, such as Psychosis, Temporal lobe, Voxel-based morphometry and Brain size. His research integrates issues of First episode and Internal medicine in his study of Psychosis.
His primary areas of study are Neuroscience, Neuroimaging, Internal medicine, Audiology and Cognition. His Neuroscience study frequently draws connections to other fields, such as Glioma. His study in Neuroimaging is interdisciplinary in nature, drawing from both Neurosurgery and Neuropsychology.
His research in Internal medicine intersects with topics in Cross-sectional study, Endocrinology and Oncology. His Audiology research is multidisciplinary, incorporating elements of Functional networks, Electrocorticography, Magnetic resonance imaging, Functional magnetic resonance imaging and Autism spectrum disorder. His research investigates the connection with Functional magnetic resonance imaging and areas like Resting state fMRI which intersect with concerns in Connectome.
The scientist’s investigation covers issues in Neuroscience, Functional magnetic resonance imaging, Autism, Functional connectivity and Internal medicine. His study involves Default mode network, Brain mapping, Neuropsychology, Connectome and Neuroimaging, a branch of Neuroscience. In his research, Insula is intimately related to Grey matter, which falls under the overarching field of Brain mapping.
His work on Dynamic functional connectivity as part of general Functional magnetic resonance imaging study is frequently linked to Self representation, bridging the gap between disciplines. His biological study spans a wide range of topics, including Ventromedial prefrontal cortex, Support vector machine, Multiclass classification and Sexual dimorphism. When carried out as part of a general Internal medicine research project, his work on Clinical trial and Serotonin transporter is frequently linked to work in Placebo and 5-HT2A receptor, therefore connecting diverse disciplines of study.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A Resilient, Low-Frequency, Small-World Human Brain Functional Network with Highly Connected Association Cortical Hubs
Sophie Achard;Raymond Salvador;Brandon Whitcher;John Suckling.
The Journal of Neuroscience (2006)
Neuroanatomical abnormalities before and after onset of psychosis: a cross-sectional and longitudinal MRI comparison.
Christos Pantelis;Christos Pantelis;Dennis Velakoulis;Dennis Velakoulis;Patrick D McGorry;Stephen J Wood;Stephen J Wood.
The Lancet (2003)
Neurophysiological Architecture of Functional Magnetic Resonance Images of Human Brain
Raymond Salvador;John Suckling;Martin R. Coleman;John D. Pickard.
Cerebral Cortex (2005)
The Mammographic Image Analysis Society digital mammogram database
J Suckling;J Parker;S Astley.
In: Gale, AG and Astley, SM and Dance, DR and Cairns, AY, (eds.) (Proceedings) 2nd International Workshop on Digital Mammography. Excerta Medica: Amsterdam. (1994) (1994)
Global, voxel, and cluster tests, by theory and permutation, for a difference between two groups of structural MR images of the brain
E.T. Bullmore;J. Suckling;S. Overmeyer;S. Rabe-Hesketh.
IEEE Transactions on Medical Imaging (1999)
Attenuation of the neural response to sad faces in major depression by antidepressant treatment: a prospective, event-related functional magnetic resonance imaging study.
Cynthia H. Y. Fu;Steven C. R. Williams;Anthony J. Cleare;Michael J. Brammer.
Archives of General Psychiatry (2004)
A meta-analysis of sex differences in human brain structure
Amber Nathalie Ruigrok;Gholamreza Salimi-Khorshidi;Meng-Chuan Lai;Simon Baron-Cohen.
Neuroscience & Biobehavioral Reviews (2014)
Colored noise and computational inference in neurophysiological (fMRI) time series analysis: Resampling methods in time and wavelet domains
Ed Bullmore;Ed Bullmore;Chris Long;John Suckling;Jalal Fadili.
Human Brain Mapping (2001)
Mapping the brain in autism. A voxel-based MRI study of volumetric differences and intercorrelations in autism
Gráinne M. McAlonan;Vinci Cheung;Charlton Cheung;John Suckling.
Structural abnormalities in frontal, temporal, and limbic regions and interconnecting white matter tracts in schizophrenic patients with prominent negative symptoms.
Thordur Sigmundsson;John Suckling;Michael Maier;Steven C.R. Williams.
American Journal of Psychiatry (2001)
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